The stochastic simulation of an econometric model is an application of Monte Carlo methods. Deterministic simulation is performed setting error terms to zero. Stochastic simulation, on the contrary, takes into account the disturbance terms, solving the model after adding a vector of pseudo-random numbers drawn from a prespecified multivariate distribution
The sequential use of random numbers, to sample the values of probability variables, allows obtainin...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
In these lecture notes we will work through three different computational problems from different ap...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
In this paper, a package implemented at the Scientific Center of IBM Italy in Pisa for the stochasti...
In this paper, a package implemented at the Scientific Center of IBM Italy in Pisa for the stochasti...
The complete validation of an econometric model is a process which involves a formidable number of a...
The complete validation of an econometric model is a process which involves a formidable number of a...
This manual describes the input requirements and the installation procedures of the program for stoc...
Purpose of this paper is the description of the tecniques used to generate pseudo-random numbers, to...
Purpose of this paper is the description of the tecniques used to generate pseudo-random numbers, to...
This report documents stochastic simulations of the quarterly macroeconometric model KVARTS91, imple...
When using material from this publication, Statistics Norway shall be quoted as the source.This repo...
Many studies in econometric theory are supplemented by Monte Carlo simulation investigations. These ...
The sequential use of random numbers, to sample the values of probability variables, allows obtainin...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
In these lecture notes we will work through three different computational problems from different ap...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
The stochastic simulation of an econometric model is an application of Monte Carlo methods. Determin...
In this paper, a package implemented at the Scientific Center of IBM Italy in Pisa for the stochasti...
In this paper, a package implemented at the Scientific Center of IBM Italy in Pisa for the stochasti...
The complete validation of an econometric model is a process which involves a formidable number of a...
The complete validation of an econometric model is a process which involves a formidable number of a...
This manual describes the input requirements and the installation procedures of the program for stoc...
Purpose of this paper is the description of the tecniques used to generate pseudo-random numbers, to...
Purpose of this paper is the description of the tecniques used to generate pseudo-random numbers, to...
This report documents stochastic simulations of the quarterly macroeconometric model KVARTS91, imple...
When using material from this publication, Statistics Norway shall be quoted as the source.This repo...
Many studies in econometric theory are supplemented by Monte Carlo simulation investigations. These ...
The sequential use of random numbers, to sample the values of probability variables, allows obtainin...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
In these lecture notes we will work through three different computational problems from different ap...